Identify the Right AI Workflow Before You Invest in Building It
A focused 1–2 week engagement to evaluate business value, workflow fit, data readiness, integration needs, risks, ownership, and the most practical path to production.
Not every AI idea should be built. The right one should.
Is This Where You Are Today?
The Discovery Sprint is designed for organisations that need clarity before committing budget, data, engineering effort, or executive sponsorship.
The First Use Case Is Unclear
Leadership wants an AI plan, but multiple ideas are competing for attention.
Experiments Are Not Producing Outcomes
Teams are testing tools and models without a clear business workflow or success measure.
Data and Integration Questions Remain
You are uncertain whether the required data, systems, permissions, or APIs are ready.
Risk and Ownership Are Undefined
Security, compliance, human review, accountability, and exception handling have not been resolved.
You Need an Independent View
You want a practical go, refine, or stop recommendation before implementation begins.
You Need Management Alignment
Business and technology teams need a shared understanding of the problem, value, scope, and next step.
What We Examine
We look beyond the AI model to understand whether the full business workflow can deliver useful, reliable, and measurable value.
Business Process
Current workflow, bottlenecks, manual effort, delays, decisions, and desired outcomes.
Users & Stakeholders
Who uses the workflow, who owns it, who approves outcomes, and who handles exceptions.
Data Readiness
Availability, quality, sensitivity, ownership, access constraints, and update frequency.
Systems & Integrations
Applications, APIs, databases, documents, authentication, and operational dependencies.
Risk & Human Review
Error impact, confidence thresholds, approvals, escalation, fallback, and auditability.
Value & Feasibility
Expected benefit, implementation effort, operational complexity, and measurable success criteria.
How the Sprint Works
A structured discovery process designed to move from assumptions to a practical decision.
01 - Understand
Stakeholder discussions, workflow review, business objectives, and current constraints.
02 - Assess
Use-case value, data, integration, risk, ownership, and production-readiness analysis.
03 - Prioritise
Compare candidate workflows and identify the best first opportunity.
04 - Recommend
Provide a clear go, refine, or stop recommendation with a practical next-step roadmap.
What You Receive
A decision-ready output that helps leadership determine whether to proceed, refine the opportunity, or stop before unnecessary investment.
AI Opportunity Map
A structured view of candidate workflows and where AI may create practical value.
Prioritised Use-Case Shortlist
Ranked opportunities based on value, feasibility, readiness, and risk.
Readiness Assessment
Assessment of data, systems, integrations, ownership, people, and operating constraints.
Recommended First Workflow
A clearly defined first workflow with users, triggers, decisions, actions, and boundaries.
High-Level Architecture
Initial view of the applications, data sources, AI components, integrations, and controls required.
Go, Refine, or Stop Recommendation
A direct recommendation supported by risks, dependencies, assumptions, and next steps.
Engagement Details
Timeline
1-2 weeks
Depending on workflow complexity, stakeholder availability, and number of use cases reviewed.
Format
Remote or hybrid
Structured workshops, interviews, document review, and technical assessment.
Commercial Model
Fixed scope
Defined discovery scope, deliverables, assumptions, and participation requirements.
Best Suited For
Mid-market and enterprise teams
Organisations with real processes, stakeholders, systems, and management commitment.
Why Unicus
Discovery is led by practical business and technology judgement—not by a desire to force AI into every process.
Functional Understanding First
We begin with the process, users, decisions, exceptions, and business outcome.
Production Engineering Perspective
Integrations, authentication, data, security, monitoring, deployment, and operations are considered early.
Senior-Led Assessment
Critical discussions, architecture decisions, and recommendations are guided by experienced technology leadership.
Independent Recommendation
If the workflow lacks value, readiness, ownership, or feasibility, we will recommend against proceeding.
Request an AI Workflow Discovery Discussion
Share the current workflow, challenge, or AI idea you are evaluating. Please do not submit confidential documents, credentials, client data, or production-system access through this form.
We usually respond within one business day.